rancovr: Cluster detection in R with RAndom Neighbourhood COVeRing
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Updated
May 19, 2023 - R
rancovr: Cluster detection in R with RAndom Neighbourhood COVeRing
R scripts used in M Cavallaro, L Dyson, MJ Tildesly, D Todkill & MJ Keeling (2023) Spatio-temporal surveillance and early detection of SARS-CoV-2 variants of concern. J. R. Soc. Interface. 20: 20230410. 20230410.
In this repo. , "Cost Effective Lazy Forward Selection" Algorithm is implemented from scratch in python with only numpy library.
Software supporting M. Cavallaro, et al., Cluster detection with random neighbourhood covering: Application to invasive Group A Streptococcal disease. PLoS Comput Biol 18(11): e1010726 (2022) https://doi.org/10.1371/journal.pcbi.1010726.
This repository contains the risk model function of the disease model in virbrio infections and how can be modeled to estimate the attributable rates
metagenomics pipeline supporting The UnO Project for identifying pathogens in common across outbreak samples
Implementation of Complex Networks Algorithms
A Disease Outbreak Assistance system using machine learning and Artifitial Intelligence
cg/wgMLST allele calling software, schema evaluation and allele distance estimation for outbreak reserch.
Epidemiological surveillance in Python
BSR-Based Allele Calling Algorithm
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